/* Copyright 2018-2023 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
=======================================================================*/

// This class has been generated, DO NOT EDIT!

package org.tensorflow.op.data.experimental;

import java.util.Arrays;
import java.util.List;
import org.tensorflow.GraphOperation;
import org.tensorflow.Operand;
import org.tensorflow.Operation;
import org.tensorflow.OperationBuilder;
import org.tensorflow.Output;
import org.tensorflow.ndarray.Shape;
import org.tensorflow.op.Operands;
import org.tensorflow.op.RawOp;
import org.tensorflow.op.RawOpInputs;
import org.tensorflow.op.Scope;
import org.tensorflow.op.annotation.Endpoint;
import org.tensorflow.op.annotation.OpInputsMetadata;
import org.tensorflow.op.annotation.OpMetadata;
import org.tensorflow.op.annotation.Operator;
import org.tensorflow.proto.DataType;
import org.tensorflow.types.family.TType;

/**
 * Creates a dataset that uses a custom thread pool to compute {@code input_dataset}.
 */
@OpMetadata(
    opType = ThreadPoolDataset.OP_NAME,
    inputsClass = ThreadPoolDataset.Inputs.class
)
@Operator(
    group = "data.experimental"
)
public final class ThreadPoolDataset extends RawOp implements Operand<TType> {
  /**
   * The name of this op, as known by TensorFlow core engine
   */
  public static final String OP_NAME = "ExperimentalThreadPoolDataset";

  private Output<? extends TType> handle;

  @SuppressWarnings("unchecked")
  public ThreadPoolDataset(Operation operation) {
    super(operation, OP_NAME);
    int outputIdx = 0;
    handle = operation.output(outputIdx++);
  }

  /**
   * Factory method to create a class wrapping a new ExperimentalThreadPoolDataset operation.
   *
   * @param scope current scope
   * @param inputDataset The inputDataset value
   * @param threadPool A resource produced by the ThreadPoolHandle op.
   * @param outputTypes The value of the outputTypes attribute
   * @param outputShapes The value of the outputShapes attribute
   * @return a new instance of ThreadPoolDataset
   */
  @Endpoint(
      describeByClass = true
  )
  public static ThreadPoolDataset create(Scope scope, Operand<? extends TType> inputDataset,
      Operand<? extends TType> threadPool, List<Class<? extends TType>> outputTypes,
      List<Shape> outputShapes) {
    OperationBuilder opBuilder = scope.opBuilder(OP_NAME, "ThreadPoolDataset");
    opBuilder.addInput(inputDataset.asOutput());
    opBuilder.addInput(threadPool.asOutput());
    opBuilder.setAttr("output_types", Operands.toDataTypes(outputTypes));
    Shape[] outputShapesArray = new Shape[outputShapes.size()];
    for (int i = 0 ; i < outputShapesArray.length ; i++) {
      outputShapesArray[i] = outputShapes.get(i);
    }
    opBuilder.setAttr("output_shapes", outputShapesArray);
    return new ThreadPoolDataset(opBuilder.build());
  }

  /**
   * Gets handle.
   *
   * @return handle.
   */
  public Output<? extends TType> handle() {
    return handle;
  }

  @Override
  @SuppressWarnings("unchecked")
  public Output<TType> asOutput() {
    return (Output<TType>) handle;
  }

  @OpInputsMetadata(
      outputsClass = ThreadPoolDataset.class
  )
  public static class Inputs extends RawOpInputs<ThreadPoolDataset> {
    /**
     * The inputDataset input
     */
    public final Operand<? extends TType> inputDataset;

    /**
     * A resource produced by the ThreadPoolHandle op.
     */
    public final Operand<? extends TType> threadPool;

    /**
     * The outputTypes attribute
     */
    public final DataType[] outputTypes;

    /**
     * The outputShapes attribute
     */
    public final Shape[] outputShapes;

    public Inputs(GraphOperation op) {
      super(new ThreadPoolDataset(op), op, Arrays.asList("output_types", "output_shapes"));
      int inputIndex = 0;
      inputDataset = (Operand<? extends TType>) op.input(inputIndex++);
      threadPool = (Operand<? extends TType>) op.input(inputIndex++);
      outputTypes = op.attributes().getAttrTypeList("output_types");
      outputShapes = op.attributes().getAttrShapeList("output_shapes");
    }
  }
}
